23 Sep

Data Scientist Jobs Vacancy in Texas Instruments Dallas

Position
Data Scientist
Company
Texas Instruments
Location
Dallas TX
Opening
23 Sep, 2018 30+ days ago

Texas Instruments Dallas urgently required following position for Data Scientist. Please read this job advertisement carefully before apply. There are some qualifications, experience and skills requirement that the employers require. Does your career history fit these requirements? Ensure you understand the role you are applying for and that it is suited to your skills and qualifications.

Follow the online directions, complete all the necessary fields, and provide all relevant information so your application is submitted correctly. When you click the 'Apply this Job' button (open in new window) you will be taken to the online application form. Here you will be asked to provide personal and contact details, respond to employment-related questions, and show how you meet the key selection criteria.

Data Scientist Jobs Vacancy in Texas Instruments Dallas Jobs Details:

As a global semiconductor company operating in 35 countries, Texas Instruments (TI) is first and foremost a reflection of its people. From the TIer who unveiled the first working integrated circuit in 1958 to the more than 30,000 TIers around the world today who design, manufacture and sell analog and embedded processing chips, we are problem-solvers collaborating to change the world through technology. Put your talent to work with us – change the world, love your job!

About the Job

In this dynamic role within the Big Data, Data Science team, you will create the future of data driven marketing. This requires close collaboration in clearly articulating data trends, comparisons and patterns utilizing your skills in machine learning and predictive analysis. You will be a key contributor to shaping customer experience & customer interactions in a multi-channel environment.

  • Apply innovative Data Science solutions that drive competitive advantage
  • Leverage existing machine learning & statistical algorithms and packages
  • Deliver differentiated applications and ensemble models to automate highly repetitive processes
  • Iteratively deliver solutions, focusing on rapid development and deployment
  • Generate and communicate clear, compelling and actionable insights
  • Be seen as a thought leader and trusted analytical partner
  • Deliver solutions to production
  • Collaborate across the organization to gain the business acumen to couple with Data Science capabilities

Minimum requirements
he ability to manage and prioritize a number of concurrent tasks garnered by a drive to succeed and transform TI is critical to success.

Familiarity with Marketing, Manufacturing or Supply Chain concepts
The ideal candidate will have a degree in physics, statistics, mathematics, information systems, marketing analytics or related fields. Advanced degree in one of these fields is strongly preferred. Familiarity with data extracts (SQL), hadoop (Cloudera, EMR), statistical packages (Spark, R, python), reporting tools (Spotfire) and web analytics (Google Analytics or Evergage) is required. Demonstrated work experience in Data Science is required (5+ years), with domain expertise in Supply Chain or Manufacturing preferred.

Qualified candidates will have a minimum of 5 years experience in Data Science with a MS degree in Quantitative Field (Information Systems, Computer Science, Industrial Engineering, Physics, Statistics or Analytics)
SQL
Cloudera
EMR
Spark
R
Python
Spotfire
Google Analytics or Evergage

Ability to work amongst a diverse team of expertise
Build relationships with business stakeholders to deliver game changing results
Demonstrated trust in algorithm development

Preferred qualifications:
Domain expertise in Manufacturing or Supply Chain
Demonstrated work delivery using Cloudera
Demonstrated work delivery using AWS
PhD Preferred

If you are interested in this position, please apply to this requisition.

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to protected characteristics, including race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or age.


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